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author = {Sugiyama, M and Suzuki, T and Kanamori, T},
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  Year = {2014}}

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author = {Chen, Tianqi and Fox, Emily B and Guestrin, Carlos},
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year = {2014}
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  year={2014}
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author = {Goodfellow, Ian and Pouget-Abadie, Jean and Mirza, M and Xu, Bing and Warde-Farley, David and Ozair, Sherjil and Courville, Aaron and Bengio, Yoshua},
title = {Generative adversarial nets},
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year = {2014}
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  title = {The Design and Implementation of Probabilistic Programming Languages},
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@article{gutmann2014statistical,
author = {Gutmann, Michael U and Dutta, Ritabrata and Kaski, Samuel and Corander, Jukka},
title = {{Statistical Inference of Intractable Generative Models via Classification}},
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year = {2014},
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@inproceedings{johnson2014stochastic,
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@inproceedings{kingma2014auto,
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journal = {arXiv.org},
year = {2014},
eprint = {9564974291761649610related:ylcy4nCdvYQJ},
eprinttype = {scholar}
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@inproceedings{ranganath2014black,
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  Year = {2014}}

@inproceedings{rezende2014stochastic,
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  Year = {2014}}

@inproceedings{wood2014new,
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year = {2014},
}

@article{bates2015fitting,
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title = {{Fitting Linear Mixed-Effects Models Using lme4}},
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year = {2015},
volume = {67},
number = {1},
pages = {1--48}
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@inproceedings{mcinerney2015population,
  author = {McInerney, James and Ranganath, Rajesh and Blei, David M},
  title = {{The Population Posterior and Bayesian Inference on Streams}},
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@article{carpenter2016stan,
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title = {Stan: {A} probabilistic programming language},
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year = {2016}
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@article{goodfellow2016nips,
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title = {{NIPS 2016 Tutorial: Generative Adversarial Networks}},
journal = {arXiv preprint arXiv:1701.00160},
year = {2016},
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  title = {{Composing graphical models with neural networks for structured representations and fast inference}},
  journal = {arXiv preprint arXiv:1603.06277},
  year = {2016},
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@article{mohamed2016learning,
author = {Mohamed, Shakir and Lakshminarayanan, Balaji},
title = {{Learning in Implicit Generative Models}},
journal = {arXiv preprint arXiv:1610.03483},
year = {2016}
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@inproceedings{rudolph2016exponential,
author = {Rudolph, Maja R and Ruiz, Francisco J R and Mandt, Stephan and Blei, David M},
title = {{Exponential Family Embeddings}},
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year = {2016}
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@article{tran2016edward,
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  title = {{Edward: A library for probabilistic modeling, inference, and criticism}},
  journal = {arXiv preprint arXiv:1610.09787},
  year = {2016}
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@inproceedings{tran2016variational,
  author = {Tran, Dustin and Ranganath, Rajesh and Blei, David M.},
  title = {The Variational Gaussian Process},
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  year = {2016}
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@article{wu2016swift,
author = {Wu, Yi and Li, Lei and Russell, Stuart and Bodik, Rastislav},
title = {Swift: {C}ompiled Inference for Probabilistic Programming Languages},
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year = {2016},
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@inproceedings{arjovsky2017wasserstein,
author = {Arjovsky, Martin and Chintala, Soumith and Bottou, Leon},
title = {{Wasserstein GAN}},
booktitle = {International Conference on Machine Learning},
year = {2017}
}

@inproceedings{donahue2017adversarial,
author = {Donahue, Jeff and Kr{\"a}henb{\"u}hl, Philipp and Darrell, Trevor},
title = {{Adversarial Feature Learning}},
booktitle = {International Conference on Learning Representations},
year = {2017}
}

@inproceedings{dumuolin2017adversarially,
author = {Dumoulin, Vincent and Belghazi, Ishmael and Ben Poole and Lamb, Alex and Arjovsky, Martin and Mastropietro, Olivier and Courville, Aaron},
title = {{Adversarially Learned Inference}},
booktitle = {International Conference on Learning Representations},
year = {2017}
}

@article{gelman2017expectation,
  author = {Gelman, Andrew and Vehtari, Aki and Jyl{\"a}nki, Pasi and Sivula, Tuomas and Tran, Dustin and Sahai, Swupnil and Blomstedt, Paul and Cunningham, John P and Schiminovich, David and Robert, Christian},
  title = {Expectation propagation as a way of life: A framework for {B}ayesian inference on partitioned data},
  journal = {arXiv preprint arXiv:1412.4869v2},
  year = {2017}
}

@article{gulrajani2017improved,
author = {Gulrajani, Ishaan and Ahmed, Faruk and Arjovsky, Martin and Dumoulin, Vincent and Courville, Aaron},
title = {{Improved Training of Wasserstein GANs}},
journal = {arXiv.org},
year = {2017},
eprint = {1704.00028v1},
eprinttype = {arxiv},
eprintclass = {cs.LG},
month = mar
}

@article{kucukelbir2017automatic,
author = {Kucukelbir, Alp and Tran, Dustin and Ranganath, Rajesh and Gelman, Andrew and Blei, David M},
title = {{Automatic Differentiation Variational Inference}},
journal = {Journal of Machine Learning Research},
year = {2017},
volume = {18},
pages = {1--45}
}

@inproceedings{tran2017deep,
  author = {Dustin Tran and Matthew D. Hoffman and Rif A. Saurous and Eugene Brevdo and Kevin Murphy and David M. Blei},
  title = {Deep probabilistic programming},
  booktitle = {International Conference on Learning Representations},
  year = {2017}
}

